EP3814981A4 - Procédé et appareil de vision artificielle - Google Patents
Procédé et appareil de vision artificielle Download PDFInfo
- Publication number
- EP3814981A4 EP3814981A4 EP18924895.8A EP18924895A EP3814981A4 EP 3814981 A4 EP3814981 A4 EP 3814981A4 EP 18924895 A EP18924895 A EP 18924895A EP 3814981 A4 EP3814981 A4 EP 3814981A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- computer vision
- vision
- computer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Multimedia (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Mathematical Physics (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2018/092809 WO2020000171A1 (fr) | 2018-06-26 | 2018-06-26 | Procédé et appareil de vision artificielle |
Publications (2)
Publication Number | Publication Date |
---|---|
EP3814981A1 EP3814981A1 (fr) | 2021-05-05 |
EP3814981A4 true EP3814981A4 (fr) | 2022-01-26 |
Family
ID=68984484
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP18924895.8A Pending EP3814981A4 (fr) | 2018-06-26 | 2018-06-26 | Procédé et appareil de vision artificielle |
Country Status (4)
Country | Link |
---|---|
US (1) | US11386287B2 (fr) |
EP (1) | EP3814981A4 (fr) |
CN (1) | CN112313662A (fr) |
WO (1) | WO2020000171A1 (fr) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11531861B2 (en) * | 2018-11-06 | 2022-12-20 | Google Llc | Neural architecture search with factorized hierarchical search space |
CN111797881B (zh) * | 2019-07-30 | 2024-06-28 | 华为技术有限公司 | 图像分类方法及装置 |
US11507831B2 (en) | 2020-02-24 | 2022-11-22 | Stmicroelectronics International N.V. | Pooling unit for deep learning acceleration |
US11508037B2 (en) * | 2020-03-10 | 2022-11-22 | Samsung Electronics Co., Ltd. | Systems and methods for image denoising using deep convolutional networks |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016033506A1 (fr) * | 2014-08-29 | 2016-03-03 | Google Inc. | Traitement d'images à l'aide de réseaux de neurones profonds |
US20170046616A1 (en) * | 2015-08-15 | 2017-02-16 | Salesforce.Com, Inc. | Three-dimensional (3d) convolution with 3d batch normalization |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016054779A1 (fr) * | 2014-10-09 | 2016-04-14 | Microsoft Technology Licensing, Llc | Réseaux de regroupement en pyramide spatiale pour traiter des images |
US9524450B2 (en) * | 2015-03-04 | 2016-12-20 | Accenture Global Services Limited | Digital image processing using convolutional neural networks |
US20160379109A1 (en) * | 2015-06-29 | 2016-12-29 | Microsoft Technology Licensing, Llc | Convolutional neural networks on hardware accelerators |
US9802599B2 (en) * | 2016-03-08 | 2017-10-31 | Ford Global Technologies, Llc | Vehicle lane placement |
US20180060719A1 (en) * | 2016-08-29 | 2018-03-01 | International Business Machines Corporation | Scale-space label fusion using two-stage deep neural net |
WO2018057749A1 (fr) * | 2016-09-26 | 2018-03-29 | Arizona Board Of Regents On Behalf Of Arizona State University | Calcul en cascade pour réseaux de neurones convolutifs |
CN107643826A (zh) | 2017-08-28 | 2018-01-30 | 天津大学 | 一种基于计算机视觉及深度学习的无人机人机交互方法 |
CN107644426A (zh) * | 2017-10-12 | 2018-01-30 | 中国科学技术大学 | 基于金字塔池化编解码结构的图像语义分割方法 |
CN107748895B (zh) | 2017-10-29 | 2021-06-25 | 北京工业大学 | 基于dct-cnn模型的无人机着陆地貌图像分类方法 |
US10783640B2 (en) * | 2017-10-30 | 2020-09-22 | Beijing Keya Medical Technology Co., Ltd. | Systems and methods for image segmentation using a scalable and compact convolutional neural network |
-
2018
- 2018-06-26 US US15/734,658 patent/US11386287B2/en active Active
- 2018-06-26 EP EP18924895.8A patent/EP3814981A4/fr active Pending
- 2018-06-26 WO PCT/CN2018/092809 patent/WO2020000171A1/fr unknown
- 2018-06-26 CN CN201880095127.2A patent/CN112313662A/zh active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016033506A1 (fr) * | 2014-08-29 | 2016-03-03 | Google Inc. | Traitement d'images à l'aide de réseaux de neurones profonds |
US20170046616A1 (en) * | 2015-08-15 | 2017-02-16 | Salesforce.Com, Inc. | Three-dimensional (3d) convolution with 3d batch normalization |
Non-Patent Citations (3)
Title |
---|
SZEGEDY CHRISTIAN ET AL: "Going deeper with convolutions", 2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 7 June 2015 (2015-06-07), pages 1 - 9, XP032793421, DOI: 10.1109/CVPR.2015.7298594 * |
SZEGEDY CHRISTIAN ET AL: "Rethinking the Inception Architecture for Computer Vision", 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 27 June 2016 (2016-06-27), pages 2818 - 2826, XP033021462, DOI: 10.1109/CVPR.2016.308 * |
WANG PANQU ET AL: "Understanding Convolution for Semantic Segmentation", 2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), IEEE, 12 March 2018 (2018-03-12), pages 1451 - 1460, XP033337768, DOI: 10.1109/WACV.2018.00163 * |
Also Published As
Publication number | Publication date |
---|---|
US11386287B2 (en) | 2022-07-12 |
CN112313662A (zh) | 2021-02-02 |
US20210124990A1 (en) | 2021-04-29 |
EP3814981A1 (fr) | 2021-05-05 |
WO2020000171A1 (fr) | 2020-01-02 |
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